MULTI-SEGMENT VECTOR QUANTIZER FOR A SPEECH CODER SUITABLE FOR USE IN A RADIOTELEPHONE

Patent №

US 5,675,702

Granted

1997-10-07

Filed 1996

Owner

MOTOROLA, INC.

Lab

AI components

2

ml · speech

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

08611608

A Vector-Sum Excited Linear Predictive Coding (VSELP) speech coder provides improved quality and reduced complexity over a typical speech coder. VSELP uses a codebook which has a predefined structure such that the computations required for the codebook search process can be significantly reduced. This VSELP speech coder uses single or multi-segment vector quantizer of the reflection coefficients based on a Fixed-Point-Lattice-Technique (FLAT). Additionally, this speech coder uses a pre-quantizer to reduce the vector codebook search complexity and a high-resolution scalar quantizer to reduce the amount of memory needed to store the reflection coefficient vector codebooks. Resulting in a high quality speech coder with reduced computations and storage requirements.

Machine learningSpeechG10L 19/083G10L 19/06G10L 19/135G10L 25/06G10L 25/24G10L 2019/0013

AI classification

Speech1.00
Machine learning0.51
AI hardware0.19
Natural language0.00
Vision0.00
Evolutionary computation0.00
Planning0.00
Knowledge representation0.00

Ownership

MOTOROLA, INC.

assignment · 274030977

Assignors

GERSON, IRA A., JASIUK, MARK A., HARTMAN, MATTHEW A.

On an employer assignment, the assignors are typically the inventors.

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